Few-Shot Ship Classification in Optical Remote Sensing Images Using Nearest Neighbor Prototype Representation

Few-Shot Ship Classification in Optical Remote Sensing Images Using Nearest Neighbor Prototype Representation

With the development of ship detection in optical remote sensing images, it is convenient to obtain accurate detection results and ship images. Owing to the superior performance of convolutional neural networks (CNNs), one way to acquire the category of ship is to train a classifier using numerous s...

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Bibliographic Details
Main Authors: Jiawei Shi, Zhiguo Jiang, Haopeng Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
few-shot learning
nearest neighbor
remote sensing image (RSI)
ship classification
Online Access:https://ieeexplore.ieee.org/document/9380722/

Internet

https://ieeexplore.ieee.org/document/9380722/

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